Version 1
Senior Data Engineer
Job Description
Company Description
Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year – EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Job Description
This is an exciting opportunity for an experienced developer of large scale digital & data solutions. You will join a team delivering a transformative cloud hosted application for a key Version 1 customer.
The ideal candidate will have a proven track record in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation.
You will ideally have experience in building solutions using a variety of tools & Microsoft Azure services, and a proven track record in delivering high quality work to tight deadlines.
Qualifications
Essential Criteria:
- Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.
- Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.
- Carries out complex data quality checking and remediation.
- Contributes to organisational policies, standards, and guidelines for data engineering.
- Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using Azure services.
- Familiar with Dynamic 365 data model.
- Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence.
- Strong communication skills with the ability to develop thought leadership materials, including whitepapers, blogs, webinars, etc.
- Experience in capacity planning and succession planning to manage workloads effectively.
Additional Information
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our company’s profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
Laura Cowan
#LI-LC2
